首页> 外文期刊>Advanced Robotics: The International Journal of the Robotics Society of Japan >Plant inspection by using a ground vehicle and an aerial robot: lessons learned from plant disaster prevention challenge in world robot summit 2018
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Plant inspection by using a ground vehicle and an aerial robot: lessons learned from plant disaster prevention challenge in world robot summit 2018

机译:使用地面车辆和空中机器人的植物检查:从世界机器人峰会2018年植物防灾挑战挑战的经验教训

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摘要

In recent years, to prevent accidents and disaster are desired by implementing maintenance and management of facilities, such as conducting periodic inspections with appropriate frequency at plants. However, because the dangerous materials such as flammable gas and explosives is used in a plant, and there are many dangerous places in a plant such as high-temperature environment and high places and narrow spaces, it is desirable to use a remote-controlled robot for safety work and short inspections. Against this background, the Disaster Robotics Category-Plant Disaster Prevention Challenge was held in Japan at the World Robot Summit 2018. Our team was ranked 3rd in this competition, because our strategy of 'inspection and investigation in cooperation with UGV and UAV' was effective. In this paper, the competition contents of World Robot Summit 2018 and the robot inspection system that we are studying are explained. And what kind of strategy was challenged and result for these given competition tasks by using our robot system are introduced. And the lessons learned such as advantages and issues in UGV and UAV collaboration work at this competition are described for evaluate a robot investigation system for disaster response and inspection work at plants.
机译:近年来,通过实施设施的维护和管理来预防事故和灾难,例如在植物中采用适当频率进行定期检查。但是,因为在植物中使用诸如易燃气体和爆炸物的危险材料,并且在高温环境和高位和窄的空间等植物中存在许多危险的地方,所以希望使用遥控机器人安全工作和短期检查。在此背景下,灾难机器人类别灾难预防挑战在2018年世界机器人峰会上举行。我们的团队在这场比赛中排名第3,因为我们的“与UGV和UVV和UAV合作的检查和调查”的战略是有效的。在本文中,解释了世界机器人峰会的竞争内容和我们正在学习的机器人检查系统。介绍了使用我们的机器人系统挑战哪种策略并导致这些给定的竞争任务。在本次竞赛中介绍了诸如UGV和UV协作工作中的优势和问题的经验教训,用于评估植物灾害响应和检验工作的机器人调查系统。

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